{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 股市基本指标与相关策略\n",
    "\n",
    "* 动量\n",
    "\n",
    "* rsi\n",
    "\n",
    "* 唐安奇通道，布林带\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 基于掘金的数据导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gm.api import *\n",
    "set_token(\"eea4b28a3ceb7048603d388bb777ebc67de47385\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import talib\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入沪深300\n",
    "history_data = history(symbol='SHSE.000300', frequency='1d', start_time='2016-07-28',  end_time='2017-07-30', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
       "      <th>eob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3204.4646</td>\n",
       "      <td>3221.1365</td>\n",
       "      <td>3195.2695</td>\n",
       "      <td>3235.7815</td>\n",
       "      <td>2016-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3217.1924</td>\n",
       "      <td>3203.9304</td>\n",
       "      <td>3198.6838</td>\n",
       "      <td>3225.4185</td>\n",
       "      <td>2016-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3196.4250</td>\n",
       "      <td>3176.8091</td>\n",
       "      <td>3156.7488</td>\n",
       "      <td>3199.9751</td>\n",
       "      <td>2016-08-01 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3173.7576</td>\n",
       "      <td>3189.0530</td>\n",
       "      <td>3165.5422</td>\n",
       "      <td>3189.0530</td>\n",
       "      <td>2016-08-02 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3179.6841</td>\n",
       "      <td>3193.5073</td>\n",
       "      <td>3173.5356</td>\n",
       "      <td>3197.1572</td>\n",
       "      <td>2016-08-03 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>3724.3777</td>\n",
       "      <td>3743.4685</td>\n",
       "      <td>3719.8489</td>\n",
       "      <td>3755.1902</td>\n",
       "      <td>2017-07-24 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>3742.6404</td>\n",
       "      <td>3719.5591</td>\n",
       "      <td>3713.2766</td>\n",
       "      <td>3752.1560</td>\n",
       "      <td>2017-07-25 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>3722.8762</td>\n",
       "      <td>3705.3884</td>\n",
       "      <td>3684.1819</td>\n",
       "      <td>3738.5315</td>\n",
       "      <td>2017-07-26 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>3700.8557</td>\n",
       "      <td>3712.1946</td>\n",
       "      <td>3672.4971</td>\n",
       "      <td>3716.6887</td>\n",
       "      <td>2017-07-27 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>3703.4895</td>\n",
       "      <td>3721.8914</td>\n",
       "      <td>3696.7776</td>\n",
       "      <td>3725.5378</td>\n",
       "      <td>2017-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          open      close        low       high                       eob\n",
       "0    3204.4646  3221.1365  3195.2695  3235.7815 2016-07-28 00:00:00+08:00\n",
       "1    3217.1924  3203.9304  3198.6838  3225.4185 2016-07-29 00:00:00+08:00\n",
       "2    3196.4250  3176.8091  3156.7488  3199.9751 2016-08-01 00:00:00+08:00\n",
       "3    3173.7576  3189.0530  3165.5422  3189.0530 2016-08-02 00:00:00+08:00\n",
       "4    3179.6841  3193.5073  3173.5356  3197.1572 2016-08-03 00:00:00+08:00\n",
       "..         ...        ...        ...        ...                       ...\n",
       "239  3724.3777  3743.4685  3719.8489  3755.1902 2017-07-24 00:00:00+08:00\n",
       "240  3742.6404  3719.5591  3713.2766  3752.1560 2017-07-25 00:00:00+08:00\n",
       "241  3722.8762  3705.3884  3684.1819  3738.5315 2017-07-26 00:00:00+08:00\n",
       "242  3700.8557  3712.1946  3672.4971  3716.6887 2017-07-27 00:00:00+08:00\n",
       "243  3703.4895  3721.8914  3696.7776  3725.5378 2017-07-28 00:00:00+08:00\n",
       "\n",
       "[244 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 动量\n",
    "\n",
    "https://zhuanlan.zhihu.com/p/21534400\n",
    "\n",
    "动量效应（Momentum effect）呢，是捕捉趋势的一种方法论，一般又称“惯性效应”，由Jegadeesh和Titman（1993）提出。他们认为，股票的收益率有延续原来的运动方向的趋势，即过去一段时间收益率较高的股票，在未来依旧会取得高于平均的收益率。通俗说，今天涨了，明天大概率会接着涨，强者恒强嘛。\n",
    "\n",
    "### 预习问题\n",
    "\n",
    "* 动量的计算方法及其意义"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          NaN\n",
       "1          NaN\n",
       "2          NaN\n",
       "3          NaN\n",
       "4          NaN\n",
       "        ...   \n",
       "239    79.9109\n",
       "240    52.3784\n",
       "241   -24.3582\n",
       "242   -35.6897\n",
       "243    -6.7063\n",
       "Name: close, Length: 244, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#动量的两种实现\n",
    "(history_data-history_data.shift(5)).close"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          NaN\n",
       "1          NaN\n",
       "2          NaN\n",
       "3          NaN\n",
       "4          NaN\n",
       "        ...   \n",
       "239    79.9109\n",
       "240    52.3784\n",
       "241   -24.3582\n",
       "242   -35.6897\n",
       "243    -6.7063\n",
       "Length: 244, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talib.MOM(history_data.close, timeperiod=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 动量策略\n",
    "\n",
    "## classwork 1\n",
    "\n",
    "* 参考之间的黄金交叉策略，请通过书本的动量策略（书本 423页），买入卖出沪深300，并观察最近两年的盈利情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RSI\n",
    "\n",
    "https://baike.baidu.com/item/RSI%E6%8C%87%E6%A0%87/7459334?fr=aladdin\n",
    "\n",
    "### 预习问题\n",
    "\n",
    "* RSI指标的计算及其意义"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      3221.1365\n",
       "1      3203.9304\n",
       "2      3176.8091\n",
       "3      3189.0530\n",
       "4      3193.5073\n",
       "         ...    \n",
       "239    3743.4685\n",
       "240    3719.5591\n",
       "241    3705.3884\n",
       "242    3712.1946\n",
       "243    3721.8914\n",
       "Name: close, Length: 244, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history_data.close"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "talib.RSI(history_data.close, timeperiod=12).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          NaN\n",
       "1          NaN\n",
       "2          NaN\n",
       "3          NaN\n",
       "4          NaN\n",
       "        ...   \n",
       "239    67.1560\n",
       "240    60.8114\n",
       "241    57.3106\n",
       "242    58.5606\n",
       "243    60.3643\n",
       "Length: 244, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talib.RSI(history_data.close, timeperiod=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "history_data1 = history(symbol='SHSE.601238', frequency='1d', start_time='2020-07-28',  end_time='2022-03-30', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
       "      <th>eob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9.1265</td>\n",
       "      <td>9.1167</td>\n",
       "      <td>9.0774</td>\n",
       "      <td>9.2246</td>\n",
       "      <td>2020-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.1854</td>\n",
       "      <td>10.0294</td>\n",
       "      <td>9.0971</td>\n",
       "      <td>10.0294</td>\n",
       "      <td>2020-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.2551</td>\n",
       "      <td>10.6770</td>\n",
       "      <td>10.1177</td>\n",
       "      <td>10.9322</td>\n",
       "      <td>2020-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.6378</td>\n",
       "      <td>10.5985</td>\n",
       "      <td>10.3336</td>\n",
       "      <td>10.7555</td>\n",
       "      <td>2020-07-31 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.6476</td>\n",
       "      <td>10.6574</td>\n",
       "      <td>10.5887</td>\n",
       "      <td>11.1186</td>\n",
       "      <td>2020-08-03 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>11.3400</td>\n",
       "      <td>11.2700</td>\n",
       "      <td>11.2500</td>\n",
       "      <td>11.4200</td>\n",
       "      <td>2022-03-24 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>11.3600</td>\n",
       "      <td>11.1300</td>\n",
       "      <td>11.1200</td>\n",
       "      <td>11.3700</td>\n",
       "      <td>2022-03-25 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>11.0800</td>\n",
       "      <td>11.2000</td>\n",
       "      <td>10.9200</td>\n",
       "      <td>11.3600</td>\n",
       "      <td>2022-03-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>11.2300</td>\n",
       "      <td>11.0200</td>\n",
       "      <td>10.9800</td>\n",
       "      <td>11.3000</td>\n",
       "      <td>2022-03-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>11.0900</td>\n",
       "      <td>11.2800</td>\n",
       "      <td>11.0800</td>\n",
       "      <td>11.3000</td>\n",
       "      <td>2022-03-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>407 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        open    close      low     high                       eob\n",
       "0     9.1265   9.1167   9.0774   9.2246 2020-07-28 00:00:00+08:00\n",
       "1     9.1854  10.0294   9.0971  10.0294 2020-07-29 00:00:00+08:00\n",
       "2    10.2551  10.6770  10.1177  10.9322 2020-07-30 00:00:00+08:00\n",
       "3    10.6378  10.5985  10.3336  10.7555 2020-07-31 00:00:00+08:00\n",
       "4    10.6476  10.6574  10.5887  11.1186 2020-08-03 00:00:00+08:00\n",
       "..       ...      ...      ...      ...                       ...\n",
       "402  11.3400  11.2700  11.2500  11.4200 2022-03-24 00:00:00+08:00\n",
       "403  11.3600  11.1300  11.1200  11.3700 2022-03-25 00:00:00+08:00\n",
       "404  11.0800  11.2000  10.9200  11.3600 2022-03-28 00:00:00+08:00\n",
       "405  11.2300  11.0200  10.9800  11.3000 2022-03-29 00:00:00+08:00\n",
       "406  11.0900  11.2800  11.0800  11.3000 2022-03-30 00:00:00+08:00\n",
       "\n",
       "[407 rows x 5 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history_data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "z6=talib.RSI(history_data1.close, timeperiod=6)\n",
    "z24=talib.RSI(history_data1.close, timeperiod=24)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "z6.plot()\n",
    "z24.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          NaN\n",
       "1          NaN\n",
       "2          NaN\n",
       "3          NaN\n",
       "4          NaN\n",
       "        ...   \n",
       "402    44.4273\n",
       "403    47.5526\n",
       "404    51.7959\n",
       "405    52.4647\n",
       "406    48.2713\n",
       "Length: 407, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z24"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "卖出\n",
      "卖出\n",
      "卖出\n",
      "卖出\n",
      "卖出\n",
      "卖出\n",
      "卖出\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "卖出\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n",
      "买入\n"
     ]
    }
   ],
   "source": [
    "for i in range(30,407):\n",
    "    if [z6.iloc[i]<50,z6.iloc[i-1]<z24.iloc[i-1],z6.iloc[i]>z24.iloc[i]]):\n",
    "        print(\"买入\")\n",
    "    if [z6.iloc[i]>50,z6.iloc[i-1]>z24.iloc[i-1],z6.iloc[i]<z24.iloc[i]]):\n",
    "        print(\"卖出\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RSI 指标策略\n",
    "\n",
    "## classwork 2\n",
    "\n",
    "* 请通过书本的RSI策略（书本 438页），买入卖出沪深300，并观察最近两年的盈利情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 通道突破策略\n",
    "\n",
    "* 唐奇安通道\n",
    "* 布林带"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 唐奇安通道\n",
    "\n",
    "https://zhuanlan.zhihu.com/p/111343952"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "up = talib.MAX(history_data.close, 20)\n",
    "down = talib.MIN(history_data.close, 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "up.plot(figsize=(18,5))\n",
    "history_data.close.plot()\n",
    "down.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 唐安奇通道策略\n",
    "\n",
    "## classwork 3\n",
    "\n",
    "* 请通过书本的唐安奇通道策略（476页），买入卖出沪深300，并观察最近两年的盈利情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 布林带\n",
    "\n",
    "http://www.30daydo.com/article/200\n",
    "\n",
    "https://www.zhihu.com/zvideo/1322285705142185984\n",
    "\n",
    "1、日BOLL指标的计算公式\n",
    "\n",
    "中轨线=N日的移动平均线\n",
    "\n",
    "上轨线=中轨线＋两倍的标准差\n",
    "\n",
    "下轨线=中轨线－两倍的标准差\n",
    "\n",
    "2、日BOLL指标的计算过程\n",
    "\n",
    "1）计算MA\n",
    "\n",
    "MA=N日内的收盘价之和÷N2）计算标准差MD\n",
    "\n",
    "MD=平方根N日的（C－MA）的两次方之和除以N3）计算MB、UP、DN线\n",
    "\n",
    "MB=（N－1）日的MA\n",
    "\n",
    "UP=MB＋2×MD\n",
    "\n",
    "DN=MB－2×MD在股市分析软件中，BOLL指标一共由四条线组成，即上轨线UP 、中轨线MB、下轨线DN和价格线。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            NaN\n",
       "1            NaN\n",
       "2            NaN\n",
       "3            NaN\n",
       "4            NaN\n",
       "         ...    \n",
       "239    3677.8406\n",
       "240    3680.0828\n",
       "241    3683.0439\n",
       "242    3685.2122\n",
       "243    3687.9669\n",
       "Length: 244, dtype: float64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talib.SMA(history_data.close, 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function BBANDS in module talib._ta_lib:\n",
      "\n",
      "BBANDS(...)\n",
      "    BBANDS(real[, timeperiod=?, nbdevup=?, nbdevdn=?, matype=?])\n",
      "    \n",
      "    Bollinger Bands (Overlap Studies)\n",
      "    \n",
      "    Inputs:\n",
      "        real: (any ndarray)\n",
      "    Parameters:\n",
      "        timeperiod: 5\n",
      "        nbdevup: 2\n",
      "        nbdevdn: 2\n",
      "        matype: 0 (Simple Moving Average)\n",
      "    Outputs:\n",
      "        upperband\n",
      "        middleband\n",
      "        lowerband\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(talib.BBANDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "upper,middle,lower=talib.BBANDS(history_data.close,timeperiod=20,nbdevup=2,nbdevdn=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "upper.plot(figsize=(18,5))\n",
    "middle.plot()\n",
    "history_data.close.plot(style=\"--\")\n",
    "lower.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 布林带突破策略\n",
    "\n",
    "## classwork 4\n",
    "\n",
    "* 请通过书本的布林带突破策略（书本 484页），买入卖出沪深300，并观察最近两年的盈利情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
